国内并行遗传算法文章大收集，研究并行遗传算法必备学习资料...

bp神经网络,反向传播神经网络！感觉还不错的-bp neural networks, back-propagation neural network! Feeling pretty good

新的神经网络算法源程序，很适合初学者，也可以在上面进行改进！-New neural network algorithm source code, it is suitable for beginners, you can make improvements in the above!

有关神经网络的源码-the neural network source

八数码难题求解程序本程序所采用的启发函数,本人不能证明它能解决任何的八数码难题,如果对于较难的问题会产生很多节点,有可能会使空间不足,所以尽量不要出太难的问题难为它.希望广大的人工智能爱好者能写出更好的启发函数.-eight digital problem solving program of the procedures used by the heuristic function, I can not prove that it can resolve any of the eight digital problem, if for the more difficult problems will have many nodes, it is likely to lack of space, so as not up to the difficult problems it hard. I hope the love AI who better to write a heuristic function better.

一个很好的LIBSVM的JAVA源码。对于要研究和改进SVM算法的学者。可以参考。来自数据挖掘工具YALE工具包。-a good LIBSVM JAVA source. They should study and improve SVM academics. Reference. From Data Mining Tool Kit Yale.

仿真1：首先把网络温度参数T固定在100，按工作规则共进行1000次状态更新,把这1000次状态转移中网络中的各个状态出现的次数Si（i＝1，2，…，16）记录下来 按下式计算各个状态出现的实际频率： Pi=Si/∑i=1,NSi=Si/M 同时按照Bo1tzmann分布计算网络各个状态出现概率的理论值： Q（Ei）=（1/Z）exp（-Ei/T） 仿真2：实施降温方案，重新计算 采用快速降温方案：T（t）= T0/（1+t） T从1000降到0.01，按工作规则更新网络状态 当T=0.01时结束降温，再让T保持在0.01进行1000次状态转移，比较两种概率-a simulation : First of all network parameters temperature T fixed at 100 and, according to the rules for a total of 1000 to update the state, this state of the 1000 network transfer of all states for the number of Si (i = 1, 2, ..., 16) all recorded determined by the formula state-of the actual frequency : Pi = Si/i = 1, NSi = Si/M in accordance with Bo1tzmann distributed computing network of states all probability the theoretical value : Q (Ei) = (1/Z) exp (- Ei/T) Simulation 2 : implementation of cooling, re-using rapid cooling programs : T (t) = T0/(1 t) T dropped to 0.01 from 1000 and, according to the rules updated network state when T = 0.01 at the end of cooling, let T at 0.01 for the 1000 state tran

基于人工神经网络的房地产项目评判模型，值得一看-based on artificial neural network evaluation model for real estate projects, an eye-catcher

自适应共振理论（ART）-Adaptive Resonance Theory (ART)

这是一本比较详细介绍进化算法的电子书，是pdf格式的。-This is a more detailed introduction of the e-book evolution algorithm is pdf format.

一个hopfield神经网络很好的程序，与大家分享！-Hopfield neural network a very good program to share with you!